[London, 31 August 2023] – With Augnito voice-driven AI transcription capabilities now integrated into the OpenRad Cloud (by Biotronics3D), its English speaking users will benefit from the increased efficiency and functionality that Augnito’s native speech reporting offers.
Scribetech today announced the successful integration of Augnito Voice Services™, an AI-powered voice-driven speech recognition API/SDK, into OpenRad Cloud (by Biotronics3D) – a remote radiology reporting platform.
OpenRad is a supplier of innovative radiology solutions for static and mobile diagnostic imaging centres worldwide, empowering healthcare professionals and the wider clinical research community with fully digitalised workflow processes that connect people, technology, and data.
Augnito is a secure and portable clinical speech recognition suite that offers medical professionals highly accurate, fast, effortless ways to dictate and transcribe live clinical data, on any mobile or desktop device – without the need for typing or outsourced services. For integrators and systems developers, Augnito delivers effective speech-enablement and voice-driven capability to many applications and clinical systems.
With the Augnito Voice Services API/SDK integrated into the cloud-based reporting platform, OpenRad can assist a severely understaffed and overworked profession with time-saving, highly accurate speech recognition technology. The combined solution means radiologists can accommodate increasing workloads and ever-expanding levels of diagnostic reporting from wherever they have an internet connection.
By speech-enabling the OpenRad Cloud reporting solution, Augnito delivers enhanced value, increased efficiency, and clinical data accuracy to OpenRad’s thousands of reporters. As well as making workloads more manageable, this also positively impacts the patient journey – from diagnosis to hospital stays – with an improved more seamless continuum of care.
OpenRad has also selected to add Augnito Spectra as a standalone “off the shelf” speech recognition product to its solution offering. The two Augnito products address multiple technology challenges previously experienced by OpenRad reporters. Many of these issues were the result of legacy non-interoperable products that are effective in isolation, but do not work so well together as one cohesive workflow.
Shiraz Austin, Managing Director at Scribetech (UK) Ltd and Co-Founder of Augnito stated: “Augnito is a disruptive innovation technology that carries Scribetech’s commitment to data accuracy along with our strong 20+ year heritage of delivering digital dictation solutions and transcription services to the NHS. It brings speech recognition to the clinical healthcare professionals who need it the most, alleviating clinical risk, cutting costs, and avoiding difficult and time-consuming upgrades on legacy systems.”
“In the UK, we look to provide Augnito speech recognition through a highly selective network of best in breed partners that share our approach to developing solutions that embrace AI innovation to enhance healthcare intelligence. OpenRad solidifies this strategy.”
“Augnito will augment the existing support and reporting benefits that our cloud-based reporting platform offers radiologists in the public and private healthcare system across the UK and English-speaking countries. This integration enables OpenRad to expand on its mission to transform healthcare through an open diagnostic network. At OpenRad we put patient outcomes first by speeding up clinical decision-making through the seamless connection and collaboration of healthcare experts, imaging providers, referrers, and their patients.” stated Brian Plackis Cheng, CEO of OpenRad.
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Notes to editors
About Scribetech (UK) Ltd and Augnito
Scribetech (UK) Ltd is a clinical solutions innovator and official distributor of Augnito products in the UK and Ireland. The company co-developed Augnito with its sister company Augnito India Private Ltd fusing 20 years of highly accurate and secure transcription and digital dictation services to the NHS, speech-to-text, and clinical coding solutions for the healthcare sector, and its own Deep Neural Network speech recognition engine with advanced voice AI technology. Augnito provides a secure, cloud-based, voice-driven AI clinical speech recognition product suite, offering fast, easy ways to capture live clinical data on any device with 99% accuracy, support for multiple medical specialities, and no need for voice profile training. Augnito brings cost effective, seamless speech recognition to daily workflows and third-party clinical systems, quickly turning medical information into documentation that makes healthcare intelligence compliant and accessible where it is needed. Visit www.scribetech.co.uk for more details.
Founded in 2021 and based in London and Berlin, OpenRad delivers innovative radiology solutions for static and mobile diagnostic imaging centres worldwide. OpenRad aims to empower healthcare professionals and the wider research community by connecting people, technology, and data.
By combining the intelligent products and services of previously acquired Biotronics3D and Visbion, OpenRad can fully digitalise the workflow processes within the radiological diagnostic sphere. Its zero footprint SaaS based solutions speed up implementation, increase centre utilisation, provide remote access, and reduce cost of ownership. Visit www.openrad.com for further information.
[London, 30 June 2023] – Scribetech has been dramatically expanding its ecosystem of Augnito partnerships and successful integrations in order to empower more healthcare professionals with clinical documentation flexibility and a more efficient way of working.
Efficient clinical speech/voice-to-text digital dictation technology has the potential to improve clinical workflows, reduce delayed patient journeys and enable better informed outcomes. Such technology is only as effective as it is accessible, easy to adopt, easy to integrate, and easy to use.
To this end Scribetech (UK) Ltd, co-creator of Augnito, has invested in a new ecosystem of distributors, value added resellers and integration partners to help bring its AI-powered speech recognition technology to more users across the UK, starting with the new channel’s customers.
In the past three months, companies have been onboarded as distributors for Augnito Spectra – a cloud-based clinical speech recognition solution that supports any English accent, out of the box. This recent UK activity follows successful agreements with resellers in the last quarter. In addition, integration partners including Aptvision, OpenRad and Intelerad have recently integrated Augnito Voice Services into their own radiology reporting platforms, bringing higher levels of accuracy and the time-saving advantage of speech to the systems their respective medical customers already use.
This recent success aligns with Augnito’s sales and development team’s core strategy, reflecting not only a strong 2-year track record in delivering measurable savings and benefits to healthcare, but also reiterating the premier service-oriented heritage it carries from its co-developer’s solution support to the NHS in the last two decades.
More than 12,000 doctors across 355 hospitals and 24 partners in UK, USA, Canada, India, the Middle East and APAC, have signed up to Augnito in just 24 months. They are joined by 1500 radiologists and a growing number of consultants at various NHS Trusts. “Everything comes back to the mission we set out when we launched Augnito in the UK in late 2021,” stated Shiraz Austin, Managing Director at Scribetech (UK) Ltd and Co-Founder of Augnito.
“We know that when access to technology is simplified from the ground up, even small increases in performance turn into huge savings. Those savings can be repurposed into what matters most – making healthcare professionals efficient at delivering exceptional care and improving patient outcomes.”
Interoperability and integration are both key to this important goal. Through Augnito Voice Services and a flexible API/SDK, healthcare technology providers can integrate speech recognition into their own platforms in a matter of weeks. To date, Cimar UK, Hexarad, Fujifilm UK Medical Systems and Magentus have all integrated Augnito technology into their radiology systems, enabling efficient workflows for their customers with more accurate diagnostic reporting.
Augnito Spectra gives users constant access to accurate speech recognition and live data input on any device running either Windows or MAC operating systems. This data is then routed securely to clinical systems including PACS and EPRs. Augnito’s ability to fit into existing clinical workflows makes user adoption easier and effective. It reduces both workload management and costs, as well as changing the way providers deploy new technology – ground up vs. top down.
Austin added: “Through our best-in-breed partnerships, we’re introducing real product flexibility and agility to assist medical health professionals in providing better patient journeys. We’ve been proactive in creating more ways to use Augnito, helping us align to the NHS plan for digital transformation and ensure new technology is integrated in a way that will naturally drive user adoption.”
For IT and technology providers in healthcare, Augnito Spectra carries a compelling (up to) 30% profit margin on every UK licence the partner sells. It is designed to be easy and fast to deploy and looks to complement partners’ existing product portfolios and service offerings. For partners’ users, Augnito Spectra provides simpler and more accurate clinical data input into all major EPR systems.
Austin concluded: “We’ve seen significant demand from resellers because the demand is there across healthcare. Inefficiencies and reporting bottlenecks are costing millions of pounds in Delayed Transfer of Care (DTOC) and bed costs as well as the ever growing patient waiting lists. And with rising demand and intense workloads, everyone inside a Trust knows something needs to change. The healthcare user benefits and the time and financial savings are significant from day one. In fact the cost of Augnito per day is less than a takeaway coffee.”
Notes to editors
About Augnito and Scribetech
Augnito is a secure, cloud-based, AI-driven clinical speech recognition product suite. It offers fast, easy ways to capture live clinical data on any device with 99% accuracy, support for multiple medical specialities, and no need for voice profile training. Augnito brings seamless speech recognition to daily workflows and third-party clinical systems, turning medical information into clinical documentation and making healthcare intelligence securely accessible everywhere.
Augnito was co-developed by Scribetech, a clinical voice solutions innovator, fusing 20 years of transcription and digital dictation services to the NHS, speech-to-text, and clinical coding solutions for the healthcare sector, and its own speech recognition engine with advanced voice AI technology.
From GP practices to acute care, hospitals, diagnostics, and imaging, the UK healthcare system is complex for patients and professionals alike. Patient journeys are touched by a vast number of people, all with their own expertise and unique roles to play along the way. In many cases, journeys go beyond the boundaries of the NHS, moving into private healthcare or complementary services like social care.
As a result, there is significant pressure to maintain effective collaboration, eliminate bottlenecks, and streamline administrative processes wherever possible. Day-to-day, healthcare providers encounter three major challenges around the flow of information and, ultimately, the flow of patients from first contact to diagnosis, treatment, and recovery.
Integrated, effective technology has the ability to help overcome these challenges – and AI-powered, highly accurate speech recognition specifically provides a single holistic solution that results in improvements across the board.
#1 The unexpected is to be expected
The nature of healthcare is that things change fast. Few of us would have predicted a devastating pandemic at the end of 2019. Recent leaps forward in AI with the likes of ChatGPT have the potential to redefine how people, including medical professionals, interact with the world around them. The NHS is also undergoing its own transformation, from a strong digital roadmap to evolving models of care like Hospital at Home.
Meanwhile, Virtual Clinics are emerging as a significant way to reduce the Delayed Transfer of Care (DTOC). The NHS has begun to introduce virtual wards, allowing more people to get the care they need, in a home environment, not in hospital, which also helps to alleviate pressure. This now creates significant change in how care is delivered and how teams work with patient data.
The need for adaptability is significant. Taking radiology as an example, a study from February 2023 describes an urgent need to make radiology ‘antifragile’ – to increase resilience and adaptability, so we can thrive in an uncertain world. Some key considerations are building capacity, enabling new ways to collaborate, and prioritising information quickly and effectively.
Integrated speech recognition technology, like Augnito, helps with this challenge by empowering radiologists with more flexibility in the way they work – from transcribing reports on the go, to directly capturing information in clinical systems using speech. Speech also helps connect increasingly complex workflows across the patient journey, whether that’s in a clinical back-end, or, surfaced to other teams in different areas of the organisation. Beyond saving time for an individual healthcare professional, speech recognition transforms the availability and accuracy of clinical information. At the same time, the ability to capture information faster enables a greater degree of analysis, spotlighting the most critical information to anyone across the continuum of care.
#2 Incomplete information impairs decisions
If it wasn’t documented, it didn’t happen. That’s the reality of taking patients through journeys that are complex, often non-linear, and involve the work of multiple individuals, Trusts, private providers, and care partners. In this fast moving environment, information capture and sharing is pivotal.
- If it was just a thought, it wasn’t documented
- If it wasn’t signed off, it wasn’t documented
- It was misplaced, it wasn’t documented
- If it wasn’t saved, it wasn’t documented
- If the detail was lost, it wasn’t documented
- And if it wasn’t documented, it didn’t happen.
Wherever humans are involved in transcribing and capturing information, that information is at risk. Misplaced documents, typing errors, and incorrect data are a considerable challenge at every touchpoint. And, as information is shared across disciplines or among teams, this risk multiplies. With multiple single points of failure, a report that was accurate in the first instance misplaced or lost, affecting dozens of steps along the patient journey, with back tracking and retrieval a difficult, time-consuming task.
Healthcare has an economic and humanistic value. Gaps and failings come with financial and human impact—in some cases, irreversibly. Augnito is designed to close the gaps between medical professionals, multiple healthcare systems, the reporting technology, and their colleagues. Interoperability is key, with speech connecting disparate systems right along the patient journey and creating a single version of the truth. With highly accurate transcription available without the delays or risks of manual handling, only then can everyone make decisions based on the full, up-to-the-minute story – with complete confidence in its accuracy and validity.
#3 Harnessing collective experience and expertise
By definition, Multi-Disciplinary Teams (MDTs) are there to provide a breadth of expertise across distinct areas, each with an important role to play in patient outcomes. But close collaboration across these teams is made more difficult when ways of working and communicating aren’t unified.
A major challenge of any new technology in healthcare is adoption – especially when considering the differing budgets of those across the health and social care system. If a new technology isn’t within reach for under-funded mental health teams or understaffed GP surgeries, its impact will always be limited.
That’s why Augnito doesn’t just provide always-available, accurate speech recognition and transcription. It’s built to be widely accessible, from the low complexity nature of a cloud-hosted solution to a simple subscription model with no need for capital expenditure or complex infrastructure changes.
Holistic improvements to how people work
Technology alone isn’t lifesaving. It’s the unique expertise and talent of people across healthcare that make better patient outcomes possible. Voice-driven AI speech recognition influences outcomes in an integrated, holistic way by focusing on the needs of the people that deliver care every day.
Developed in partnership with medical professionals, Augnito is tailored to the biggest challenges our healthcare system is facing, from rising backlogs to surging DTOC figures and a widespread bed shortage. Delivering incremental improvements to the speed, accuracy and quality of reporting and communication, Augnito brings new efficiency to everyone who touches the patient journey.
Learn more about Augnito
Augnito is already impacting the patient journey through our growing list of UK resellers and technology partners. Request an Augnito Spectra evaluation version to see its benefits first-hand.
While Delayed Transfers of Care (DTOCs), bed shortages, and needless hospital stays negatively affect every patient, the NHS still has a responsibility to pay special attention to the most vulnerable people in our society. But, given the nature of acute hospital beds and potential transfers to social care, the frail elderly and sick children make up a considerable part of the pressure that the NHS faces in handling its current backlog of more than 7 million people waiting for treatment.
In an effort to improve collaboration between disciplinary teams, the NHS has been taking steps to rectify the specific challenge focussed on the vulnerable and . Between 2013 and 2015, 25 integrated care pioneer sites were selected by the NHS to develop and test new ways of joining up health and social care services across England. In 2015, 50 vanguards were chosen to lead the development of new care models, becoming blueprints for the wider NHS moving forward and the inspiration to the rest of the health and care system moving forward.
Through the new care models programme, a complete redesign of whole health and care systems was being considered. That care model was to take into account improving care not simply for older people, but with a focus on frailty vs. age and the differing needs of our ageing population. An ageing population that is living longer and presenting with more complex illnesses that require complicated care. At the same time, similar complexity can be found in a vulnerable group at the other end of the patient age spectrum – the young (children). These factors compound today’s NHS bed shortages, understaffing, burdened workflows, bottlenecks and burned-out clinicians and nurses. They also add to the DTOC problem.
While DTOCs can occur for a wide variety of reasons in the patient journeys of the above two mentioned vulnerable groups, data shows significant challenges in bed capacity, particularly for children. For older patients, awaiting care packages in their own home or nursing home availability are among the most common causes. Meanwhile, Multidisciplinary Teams (MDTs) have a pivotal role to play in enabling seamless journeys, without being limited by inaccurate patient reports, loss of reports, and delays in information sharing (a topic we’ll go into more detail in our next blog post).
In this post, we focus on how DTOCs affect the vulnerable most frequently and how speech recognition technology could help improve this situation to deliver a more consistently available level of care and, ultimately, improve outcomes.
Treating severely ill children
Recent data from Nuffield Trust examined the impact of NHS pressure on children, looking specifically at intensive care beds across the challenging winter period.
According to the report, December 2021 saw just 314 beds per day across the whole of England. While this was marginally higher than availability in previous winters, occupancy was higher too. On average, 89% of these beds were occupied, leaving just 35 beds available to new admissions.
This is by no means the direct consequence of DTOCs and patients failing to be transferred or discharged appropriately. But, it is a sign of a healthcare system in crisis, dealing with peak demand and increased instances of flu, scarlet fever and Strep A with little room to manoeuvre. Bed stocks have been reduced to an extent where any unexpected demand – or delay – could have disastrous consequences.
DTOCs and older patients
For older frail patients, effective care takes a seamless approach between the NHS, community services, and social care providers. It is often these cases where the discharge and transfer process is most complex, requiring collaboration between multiple parties and effectively prioritising what are often multifaceted, intricate needs.
According to a study in Age and Ageing, Volume 50, Issue 4, the average cost to the NHS of DTOCs in older patients was £820 million each year. However, the study highlights the importance of keeping patients central, even where most data gathering is focused on wasted costs.
The reality is that DTOCs aren’t just a cost centre. They create a ripple effect across our entire healthcare system – and out into the lives of patients and our wider communities. Reducing wasted costs is simple: discharge patients faster and more effectively – that’s just one part of the story.
For older patients – and patients of any age – the discharge and transfer process is a key part of their experience. Delays create distress and negatively impact healthcare outcomes. And the knock-on implications of bed shortages, soaring occupancy, and unavailability of care, tend to lower standards across the entire system.
The human cost of DTOCs and bed shortages
At the end of 2022, Landmark Chambers reported on a specific judicial review of an individual Integrated Care Board (ICB). A patient with complex physical needs and autism was stuck on a ward for 8 months when the NHS and social care bodies failed to agree on a discharge plan.
The ICB was ordered to pay the patient’s legal fees as well as their own costs – a legal bill estimated at more than £100,000. The real cost in this, and sadly many similar DTOCs isn’t financial. The real cost is to the patient: a vulnerable individual, already in a challenging environment, needlessly kept waiting for almost a year.
Look behind the scenes, and there’s also a human cost to the overworked, under-pressure MDTs based on the disjointed transfer of care process itself, providing these teams with unwieldy, often outdated reporting platforms and slow, manual processes that make efficient discharge and transfer more difficult than they need to be.
How can technology help?
Augnito’s AI speech recognition empowers all healthcare professionals to save time, increase productivity and, ultimately, reduce costs. It was created to play a part in rethinking models and workflows in healthcare, to actively improve the patient journey by making accurate, agile technology available to entire MDTs across Trusts and across primary care. The challenges the NHS continues to face are sizable, constantly evolving, and not easily solved. We believe a way for professionals to work more flexibly, cope with considerable workloads, and focus their efforts on delivering exceptional patient care will be key steps towards a solution.
Learn more about Augnito
Augnito is already impacting the patient journey through a growing list of UK resellers, distributors and technology partners.
Request an Augnito evaluation version to see its benefits first-hand.
With the NHS under immense pressure, bed stocks are infamously limited. However, this pressure shows no signs of slowing – and the number of beds across the NHS shows no sign of growing in a way that’s substantially impactful. What other approaches can we take to address this major challenge and, crucially, how can technology help?
From healthcare professionals to the general public, most of us are intimately familiar with the continued lack of beds in our healthcare system. Even pre-pandemic, few health experts felt we were well equipped with beds and ample resources. Now, the BMA continue to stress the severity of this problem: data from December 2022 reports occupancy rates consistently exceeding safe levels and call capacity a ‘critical limiting factor’ for the NHS.
Beyond those early adopter areas like radiology and pathology, speech recognition technology has the potential to reduce costs across entire Trusts – potentially freeing up resources to invest in new ways to grow capacity and bring occupancy down to reasonable levels.
The impact of DTOC on bed capacity
Recently, in our previous blog post, we wrote about the significant challenge of Delayed Transfers of Care (DTOCs) – those periods when a patient is ready to be discharged from an acute care bed but remains in the bed regardless. Typical bottlenecks and obstacles to discharge/transfer include:
- Awaiting completion of assessment, including incomplete documentation
- Awaiting care packages
- Awaiting nursing home placement
- Awaiting community equipment and adaptations
- Awaiting further non-acute NHS care
- Awaiting care packages in own home
- Disputes and legal challenges
Across all these areas, faster documentation and reporting time can help keep people moving along the patient journey. If not, DTOC dramatically worsens the problem of poor bed stocks and low capacity.
Every day a patient stays in an acute care bed unnecessarily, beds remain unavailable to those who need them. While this is obviously a barrier to delivering timely, effective treatment and care, it also creates unnecessary cost.
The costs of a widespread bed shortage
Bed shortages, driven by needlessly extended hospital stays and DTOCs, lead to significant costs to the NHS. This is a wasted expense that does nothing to improve patient journeys, experiences, and outcomes.
In February 2020, DTOC metrics reported by the GSS show on average 5370 people were delayed per day. The actual cost of these delays is significant by any measure. According to Age UK, in 2019, the cost of a DTOC bed per day was £346. whereas Department of Health figures from 2017 put the cost at £400 per day. Even if we assume the NHS’ own £350/day cost was accurate in February 2020, this means that month’s cost for 155,700 days was over a staggering £54 million.
An effective, accurate speech recognition technology like Augnito can reduce this cost and deliver a considerable saving by enabling clinicians and healthcare professionals to work and report more efficiently, removing some of the above mentioned common obstacles to prompt discharge or transfer. And the cost of adopting Augnito is significantly less than the cost of adding and maintaining more beds.
Repurposing even just 5% of February 2020’s estimated DTOC cost into Augnito licences could empower tens of thousands of clinicians to work more efficiently, reduce reporting time, and focus their energy on patients. Even a seemingly small 1% efficiency gain could dramatically improve both staff workloads and, more importantly, patient journeys overall.
Addressing the consistent fall in NHS beds
Over the past three decades, the total number of NHS hospital beds in England has more than halved. In part, this reflects changes to the ways patients are treated and is a trend we can see reflected in other advanced healthcare systems. For example, an increase in day surgery and long-term policies to move patients into care in the community have partly driven this ongoing reduction in capacity.
Of course, we all know that demand hasn’t followed this proposed downward trajectory. While the number of beds may have decreased, the number of patients treated has continued to rise sharply. Today, the UK has fewer acute beds relative to its population than most other European countries.
Worse, the longer-term outlook is bleak. The Health Foundation’s REAL Centre analysed bed stocks against best-case demand and found a significant gap. According to the report, 35% more beds will be required by 2030 – even if NHS initiatives to reduce hospital stay durations succeed. Apply the estimated DTOC rates we’ve shown above and the cost skyrockets.
The impact of speech recognition on efficiency and cost
As the NHS has consistently found for more than three decades, expanding bed stocks isn’t a simple task. Capacity is a complex issue and, as demand continues to surge, occupancy rates of 99% and above aren’t likely to improve without significant change.
It’s not that technology like Augnito AI powered speech recognition can solve the DTOC challenge overnight. It’s that incremental improvements to the way healthcare professionals work, collaborate, and share information creates consistent improvements over time. Eliminating the slow reporting and typing into cumbersome, often outdated systems saves time, reduces costs, and enables budgets to be repurposed into wider, systemic changes.
Augnito is already used widely across healthcare, helping those in diagnostic and reporting roles capture clinical data quickly, securely, accurately, and more cost-effectively. Crucially, Augnito’s flexible licensing means it’s available to Trusts for a fraction of the cost of adding capacity or keeping patients in beds for longer than they need them.
For Trusts, this creates time and money savings with a compound effect. The ease of implementing Augnito across multiple individuals, departments and parts of the patient journey means even small efficiency gains for healthcare professionals create a significant, meaningful saving overall. The facts speak for themselves: the cost of a single extra bed per day is close to if not 10 times more than the cost of a single Augnito licence for a month.
See how you could save time and money
Augnito is already quietly and positively impacting the patient journey and the continuum of care in primary and secondary care. Talk to us to find out more or request an evaluation version / Augnito app to see how it could help you.